Papers
Thu 8 Sep 2022
126 papers
- Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RLOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Learning to Generate Realistic LiDAR Point CloudsWorld models → World modeling from LiDAR generation
- Exploring Target Representations for Masked AutoencodersKnowledge distillation → General knowledge distillation methods
- SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusionDiffusion models → Diffusion and flow policies for robotics
- nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Using Multivariate Linear Regression for Biochemical Oxygen Demand Prediction in Waste Water
- FORLORN: A Framework for Comparing Offline Methods and Reinforcement Learning for Optimization of RAN Parameters
- Survey on Applications of Neurosymbolic Artificial Intelligence
- A Quantum Algorithm for Computing All Diagnoses of a Switching Circuit
- Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning
- A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing
- Clifford Neural Layers for PDE Modeling
- Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures
- Majority Vote for Distributed Differentially Private Sign Selection
- Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
- im2nerf: Image to Neural Radiance Field in the Wild
- Generating Contextual Load Profiles Using a Conditional Variational Autoencoder
- Algorithms with More Granular Differential Privacy Guarantees
- Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics
- Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography
- Who Pays? Personalization, Bossiness and the Cost of Fairness
- Assessing Lower Limb Strength using Internet-of-Things Enabled Chair
- Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages
- Functional dimension of feedforward ReLU neural networks
- Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
- Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
- Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
- From Shapley Values to Generalized Additive Models and back
- FedDAR: Federated Domain-Aware Representation Learning
- Online Low Rank Matrix Completion
- Active Learning of Classifiers with Label and Seed Queries
- Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals
- Delta-PINNs: physics-informed neural networks on complex geometries
- Text-Free Learning of a Natural Language Interface for Pretrained Face Generators
- W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
- The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
- Data Feedback Loops: Model-driven Amplification of Dataset Biases
- NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications
- Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
- Sequential Information Design: Learning to Persuade in the Dark
- A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans
- PixTrack: Precise 6DoF Object Pose Tracking using NeRF Templates and Feature-metric Alignment
- Analyzing the Effect of Sampling in GNNs on Individual Fairness
- Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
- IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
- IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model
- Mean Field Games on Weighted and Directed Graphs via Colored Digraphons
- A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
- Valuing Players Over Time
- Learning Sparse Graphon Mean Field Games
- Histogram Layers for Synthetic Aperture Sonar Imagery
- A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
- Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
- 5q032e@SMM4H'22: Transformer-based classification of premise in tweets related to COVID-19
- Transformer based Fingerprint Feature Extraction
- FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices
- Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
- Pre-Training a Graph Recurrent Network for Language Representation
- T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction
- Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems
- What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
- FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
- Double Q-Learning for Citizen Relocation During Natural Hazards
- ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques
- Lightweight Long-Range Generative Adversarial Networks
- Applying Transformer-based Text Summarization for Keyphrase Generation
- Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
- Quantum Sparse Coding
- Goodness of Pronunciation Pipelines for OOV Problem
- Stochastic gradient descent with gradient estimator for categorical features
- Improved Robust Algorithms for Learning with Discriminative Feature Feedback
- Automatic fetal fat quantification from MRI
- Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives
- Developing a multi-variate prediction model for the detection of COVID-19 from Crowd-sourced Respiratory Voice Data
- A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
- Towards explainable evaluation of language models on the semantic similarity of visual concepts
- Enhancing the Self-Universality for Transferable Targeted Attacks
- Visual Grounding of Inter-lingual Word-Embeddings
- Unsupervised Video Object Segmentation via Prototype Memory Network
- What Did I Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks
- Losing momentum in continuous-time stochastic optimisation
- Kernel-Segregated Transpose Convolution Operation
- Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
- Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
- Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue
- Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews
- A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application
- Known by the company we keep: `Triadic influence' as a proxy for compatibility in social relationships
- Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging
- Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
- R3LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator
- Generalized One-shot Domain Adaptation of Generative Adversarial Networks
- Efficient Gender Debiasing of Pre-trained Indic Language Models
- Tag-Aware Document Representation for Research Paper Recommendation
- Saliency-based Multiple Region of Interest Detection from a Single 360deg image
- FETA: Towards Specializing Foundation Models for Expert Task Applications
- Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
- AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
- Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
- Application of image-to-image translation in improving pedestrian detection
All 126
- Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
- Black-Box Audits for Group Distribution Shifts
- Model-free Subsampling Method Based on Uniform Designs
- IMAP: Individual huMAn mobility Patterns visualizing platform
- DIY-IPS: Towards an Off-the-Shelf Accurate Indoor Positioning System
- Frame-Subtitle Self-Supervision for Multi-Modal Video Question Answering
- An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
- Levenshtein OCR
- Multi-Granularity Prediction for Scene Text Recognition
- Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
- Sign Language Detection
- Suspicious and Anomaly Detection
- SANIP: Shopping Assistant and Navigation for the visually impaired
- SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
- Video Vision Transformers for Violence Detection
- Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task
- Knowledge Based Template Machine Translation In Low-Resource Setting
- Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
- Reward Delay Attacks on Deep Reinforcement Learning
- CWP: Instance complexity weighted channel-wise soft masks for network pruning
- CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets
- Implicit Full Waveform Inversion with Deep Neural Representation
- Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
- Measuring Human Perception to Improve Open Set Recognition
- A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms
- RGB-X Classification for Electronics Sorting